A common objective in image analysis is dimensionality reduction. The most common often used data-exploratory technique with this objective is principal component analysis. We pro...
A large number of learning algorithms, for example, spectral clustering, kernel Principal Components Analysis and many manifold methods are based on estimating eigenvalues and eig...
Abstract. Upper Ontologies are quickly becoming a key technology for integrating heterogeneous knowledge coming from different sources. In this technical report we analyse 7 Upper ...
A key element of any approach to meeting the climate change challenge is the ability to improve operational efficiency in a pervasive fashion. The notion of a business process is a...
In this paper, we present a practical experiment of building a service-oriented system upon current web services technologies and bioinformatics middleware. The system allows scie...
Xiaorong Xiang, Gregory R. Madey, Jeanne Romero-Se...